Work or Study with us Archive

Background Novel wireless in-ear headphones can do more than playing music. They come with various types of sensors, e.g. microphones, inertial measurement unit (IMU) or accelerometer. This makes such earables interesting in health contexts. The goal of this seminar is to investigate the usefulness... Continue

Background Determining what food is consumed during a meal is a central research challenge of Automated Dietary Monitoring (ADM). During chewing, food breaks down and generates unique vibration signals which can be recorded with sensor-integrated wearables. Chewing vibration data usually contain ri... Continue

Background Smart eyeglasses integrate sensors can serve for multiple purposes including health monitoring. Generally, the sensors need to be integrated at specific parts of the eyeglasses to function effectively. Moreover, optimising sensor locations maximises sensor data quality. However, optimal ... Continue

Background The German digital health applications (“Digitale Gesundheitsanwendung”, DiGA) provides ground for the rapid time-to-market of health and medical apps. This seminar starts with an international overview on digital health app regulations and introduction to the German DiGA. Key topics inc... Continue

Background Poor nutritional behaviour is considered a major risk factor for the development of various chronic diseases. Smartphone apps offer the possibility to influence nutritional behaviour positively by monitoring and providing direct feedback. Since the use of smartphones is increasing also a... Continue

Course description Digital health is a branch of digital medicine that integrates and leverages multisource and multimodal data for medical knowledge extraction and decision support across a wide range of preventive, diagnostic, and therapeutic applications. The course starts by introducing the bas... Continue

Course description The course provides an overview on the design of wearable and implantable computing systems. The overview is structured in three parts: context recognition, electronic systems and sensors, and additive manufacturing methods. Pattern analysis and machine learning methods to proces... Continue

Background Nowadays the new digital modelling techniques can speed up the personalisation of wearables as well as the rapid prototyping. However, the personalisation might require very precise human body measurements which can be tedious if done manually. The project aims at implementing a convenie... Continue

Background Web scraping methods can nowadays be very helpful to automatically collect data and build large-sized datasets which can be necessary when developing machine learning algorithms. The project aims at implementing a convenient algorithm for the automatic extraction and tagging of audio dat... Continue

Background Wearable technology often needs devices to be personalized in order to achieve comfort and usability requirements for a long-term, inconspicuous monitoring of the user health. We propose to implement an algorithm to speed up the customization and manufacturing of smart clothes. Aim The... Continue